Coming Home: homelessness among trans people in the EU
Bibliographic record
Abstract
A quarter of trans people in the EU report having experienced homelessness or housing difficulties in some form, including sleeping rough, at a friend's house, or in a shelter, at some point in their lives. The share is higher for younger trans people, trans people with migration or ethnic minority backgrounds, and trans people with disabilities. At the same time, trans people face an inaccessibility of housing: one-fifth of trans respondents to the 2019 EU Fundamental Rights Agency LGBTI Survey reported experiencing discrimination when looking for housing in the 12 months preceding the survey.Despite being so widespread, trans people's experiences with homelessness is grossly under-researched and the needs of vulnerable trans people are too often not considered in mainstream housing and emergency accommodation programs. Trans-led organisations and drop-in centres, on the other hand, are the first port of call for many trans people in crisis.This policy brief intends to raise awareness of the current situation of trans people and homelessness in Europe among the general public, trans advocates, and other stakeholders working at national, regional and EU level. It will describe how trans people experience homelessness, why trans people are vulnerable to poverty and homelessness, and the impact of the COVID crisis; the actors currently working to eliminate homelessness among trans people and what they are doing; and it will identify the needs of the community, possible solutions, and finally draw up policy recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".